The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing the full statistical models and discuss the technical developments that make this practical. By means of a variety of physics cases - including parton distribution functions, Higgs boson measurements, effective field theory interpretations, direct searches for new physics, heavy flavor physics, direct dark matter detection, world averages, and beyond the Standard Model global fits - we illustrate how detailed information on the statistical modelling can enhance the short- and long-term impact of experimental results.

Cranmer, K., Kraml, S., Prosper, H., Bechtle, P., Bernlochner, F., Bloch, I., et al. (2022). Publishing statistical models: Getting the most out of particle physics experiments. SCIPOST PHYSICS, 12(1) [10.21468/SciPostPhys.12.1.037].

Publishing statistical models: Getting the most out of particle physics experiments

Ferreiro Iachellini N.;
2022

Abstract

The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing the full statistical models and discuss the technical developments that make this practical. By means of a variety of physics cases - including parton distribution functions, Higgs boson measurements, effective field theory interpretations, direct searches for new physics, heavy flavor physics, direct dark matter detection, world averages, and beyond the Standard Model global fits - we illustrate how detailed information on the statistical modelling can enhance the short- and long-term impact of experimental results.
Articolo in rivista - Articolo scientifico
open likelihood, statistical methods
English
25-gen-2022
2022
12
1
037
open
Cranmer, K., Kraml, S., Prosper, H., Bechtle, P., Bernlochner, F., Bloch, I., et al. (2022). Publishing statistical models: Getting the most out of particle physics experiments. SCIPOST PHYSICS, 12(1) [10.21468/SciPostPhys.12.1.037].
File in questo prodotto:
File Dimensione Formato  
Cranmer et al-2022-SciPost Physics-VoR.pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Creative Commons
Dimensione 3.66 MB
Formato Adobe PDF
3.66 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/628775
Citazioni
  • Scopus 33
  • ???jsp.display-item.citation.isi??? 30
Social impact